{"id":"W4411910035","doi":"10.30953/thmt.v10.554","title":"Integrating Large Language Models into Clinical Decision Support Systems: A Novel Approach to UTI Diagnosis and Treatment","year":2025,"lang":"en","type":"article","venue":"Telehealth and Medicine Today","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Clinical decision support system; Decision support system; Computer science; Intensive care medicine; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005675884,0.001461453,0.0008821255,0.001663726,0.001018496,0.004452396,0.002866209,0.00159949,0.004416598],"category_scores_gemma":[0.02341161,0.0009488586,0.002457058,0.001224951,0.001062539,0.004269304,0.003705128,0.003432477,0.001661749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002128665,"about_ca_system_score_gemma":0.004329678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01226965,"about_ca_topic_score_gemma":0.02127378,"domain_scores_codex":[0.9955189,0.001755225,0.0005051555,0.001105167,0.0009483217,0.0001671345],"domain_scores_gemma":[0.9868422,0.008738947,0.0007836784,0.001390045,0.001721362,0.0005237673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001011523,0.001081136,0.01191117,0.001267189,0.0006100444,0.001325589,0.003275878,0.2793811,0.018698,0.03769226,0.02885853,0.6148875],"study_design_scores_gemma":[0.00008452019,0.0001100903,0.0004978727,0.00009494626,0.0001038118,0.000172446,0.0001627137,0.9431312,0.004666322,0.03440041,0.01652368,0.00005193287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009970983,0.0005409144,0.968527,0.002964028,0.000131162,0.0004856861,0.001129986,0.01435041,0.001899922],"genre_scores_gemma":[0.1180058,0.0003435834,0.8762895,0.001082781,0.000112337,0.000364664,0.001715196,0.0004258336,0.001660288],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01226965,"threshold_uncertainty_score":0.03001732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04856991774644694,"score_gpt":0.4021485085357031,"score_spread":0.3535785907892562,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}